SLIM21

Sort Order Display Format Items / Page  
 
  Click the serial number on the left to view the details of the item.
 #  AuthorTitleAccn#YearItem Type Claims
21 Connor, Patrick L.S Inclusive b Jet Production in Proton-Proton Collisions I09411 2019 eBook  
22 Keck, Thomas Machine Learning at the Belle II Experiment I09374 2018 eBook  
23 Shmueli, Erez 3rd International Winter School and Conference on Network Science I09354 2017 eBook  
24 Reagan, James R Management 4.0 I09324 2020 eBook  
25 Golosovsky, Michael Citation Analysis and Dynamics of Citation Networks I09186 2019 eBook  
26 Ghanbarnejad, Fakhteh Dynamics On and Of Complex Networks III I09167 2019 eBook  
27 Berea, Anamaria Emergence of Communication in Socio-Biological Networks I09139 2018 eBook  
28 Zhao, Haitao Feature Learning and Understanding I09105 2020 eBook  
29 Ryabova, Galina O Mathematical Modelling of Meteoroid Streams I09014 2020 eBook  
30 Pendrill, Leslie Quality Assured Measurement I08785 2019 eBook  
(page:3 / 6) [#59] First Page   Previous Page   Next Page   Last Page 

21.    
No image available
TitleInclusive b Jet Production in Proton-Proton Collisions : Precision Measurement with the CMS experiment at the LHC at ??? s = 13 TeV
Author(s)Connor, Patrick L.S
PublicationCham, Springer International Publishing, 2019.
DescriptionXXVII, 309 p. 178 illus., 134 illus. in color : online resource
Abstract NoteA measurement of the double differential cross section for inclusive b jet production in proton-proton collisions as well as fraction of b jets in the inclusive jet production is presented as a function of the transverse momentum p T and the absolute rapidity |y|. The data samples were collected in the CMS experiment at LHC during 2016 and correspond to an integrated luminosity of 35.2 fb ???1 at a centre-of-mass energy of 13 TeV. The jets are selected with p T > 74 GeV and |y| < 2.4; the b jets must contain a B hadron. The measurement has significant statistics up to p T ??? O(TeV). Advanced methods of unfolding are performed to extract the signal. It is found that fixed-order calculations with underlying event describe the measurement well
ISBN,Price9783030343835
Keyword(s)1. Data-driven Science, Modeling and Theory Building 2. EBOOK 3. EBOOK - SPRINGER 4. ECONOPHYSICS 5. Elementary particles (Physics) 6. Elementary Particles, Quantum Field Theory 7. MATHEMATICAL PHYSICS 8. QUANTUM FIELD THEORY 9. Sociophysics 10. Theoretical, Mathematical and Computational Physics
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09411     On Shelf    

22.     
No image available
TitleMachine Learning at the Belle II Experiment : The Full Event Interpretation and Its Validation on Belle Data
Author(s)Keck, Thomas
PublicationCham, Springer International Publishing, 2018.
DescriptionXI, 174 p. 84 illus., 16 illus. in color : online resource
Abstract NoteThis book explores how machine learning can be used to improve the efficiency of expensive fundamental science experiments. The first part introduces the Belle and Belle II experiments, providing a detailed description of the Belle to Belle II data conversion tool, currently used by many analysts. The second part covers machine learning in high-energy physics, discussing the Belle II machine learning infrastructure and selected algorithms in detail. Furthermore, it examines several machine learning techniques that can be used to control and reduce systematic uncertainties. The third part investigates the important exclusive B tagging technique, unique to physics experiments operating at the ?? resonances, and studies in-depth the novel Full Event Interpretation algorithm, which doubles the maximum tag-side efficiency of its predecessor. The fourth part presents a complete measurement of the branching fraction of the rare leptonic B decay ???B???tau nu???, which is used to validate the algorithms discussed in previous parts
ISBN,Price9783319982496
Keyword(s)1. ARTIFICIAL INTELLIGENCE 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. Elementary particles (Physics) 7. Elementary Particles, Quantum Field Theory 8. Measurement Science and Instrumentation 9. Measurement?????? 10. PHYSICAL MEASUREMENTS 11. QUANTUM FIELD THEORY 12. Sociophysics
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09374     On Shelf    

23.     
No image available
Title3rd International Winter School and Conference on Network Science : NetSci-X 2017
Author(s)Shmueli, Erez;Barzel, Baruch;Puzis, Rami
PublicationCham, Springer International Publishing, 2017.
DescriptionVI, 130 p. 32 illus., 17 illus. in color : online resource
Abstract NoteThis book contains original research chapters related to the interdisciplinary field of complex networks spanning biological and environmental networks, social, technological, and economic networks. Many natural phenomena can be modeled as networks where nodes are the primitive compounds and links represent their interactions, similarities, or distances of sorts. Complex networks have an enormous impact on research in various fields like biology, social sciences, engineering, and cyber-security to name a few. The topology of a network often encompasses important information on the functionality and dynamics of the system or the phenomenon it represents. Network science is an emerging interdisciplinary discipline that provides tools and insights to researchers in a variety of domains. NetSci-X is the central winter conference within the field and brings together leading researchers and innovators to connect, meet, and establish interdisciplinary channels for collaboration. It is the largest and best known event in the area of network science. This text demonstrates how ideas formulated by authors with different backgrounds are transformed into models, methods, and algorithms that are used to study complex systems across different domains and will appeal to researchers and students within in the field.
ISBN,Price9783319554716
Keyword(s)1. Applications of Graph Theory and Complex Networks 2. BIOINFORMATICS 3. Computational Biology/Bioinformatics 4. Computational Social Sciences 5. COMPUTER SIMULATION 6. Data-driven Science, Modeling and Theory Building 7. EBOOK 8. EBOOK - SPRINGER 9. ECONOPHYSICS 10. PHYSICS 11. Simulation and Modeling 12. Social sciences???Computer programs 13. Social sciences???Data processing 14. Sociophysics
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09354     On Shelf    

24.     
No image available
TitleManagement 4.0 : Cases and Methods for the 4th Industrial Revolution
Author(s)Reagan, James R;Singh, Madhusudan
PublicationSingapore, Springer Singapore, 2020.
DescriptionXVII, 175 p. 61 illus. in color : online resource
Abstract NoteThis book provides a comprehensive review of industry 4.0 and its applications, discussing the history of industry evaluation, including industry 1.0, 2.0, 3.0 and 4.0, and the future structure of industry evaluation. It also examines the effects and impact of various technologies in industry and presents new interdisciplinary business models based on advanced technologies with the help of use cases. Lastly, it highlights the benefits of technological implementation in industry using examples of real-world applications, providing a robust and reliable technological conceptual framework and roadmap for decision-makers in all areas of industry involved transformation.
ISBN,Price9789811567513
Keyword(s)1. AUTOMATION 2. COMPUTER ENGINEERING 3. Cyber-physical systems, IoT 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Embedded computer systems 9. INDUSTRIAL MANAGEMENT 10. Innovation/Technology Management 11. Internet of things 12. MANAGEMENT 13. ROBOTICS 14. Robotics and Automation 15. Sociophysics 16. Statistics for Business, Management, Economics, Finance, Insurance 17. Statistics??
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09324     On Shelf    

25.     
No image available
TitleCitation Analysis and Dynamics of Citation Networks
Author(s)Golosovsky, Michael
PublicationCham, Springer International Publishing, 2019.
DescriptionXIV, 121 p. 53 illus., 52 illus. in color : online resource
Abstract NoteThis book deals with the science of science by applying network science methods to citation networks and uniquely presents a physics-inspired model of citation dynamics. This stochastic model of citation dynamics is based on a well-known copying or recursive search mechanism. The measurements covered in this text yield parameters of the model and reveal that citation dynamics of scientific papers is not linear, as was previously assumed. This nonlinearity has far-reaching consequences including non-stationary citation distributions, diverging citation trajectories of similar papers, and runaways or "immortal papers" with an infinite citation lifespan. The author shows us that nonlinear stochastic models of citation dynamics can be the basis for a quantitative probabilistic prediction of citation dynamics of individual papers and of the overall journal impact factor. This book appeals to students and researchers from differing subject areas working in network science and bibliometrics
ISBN,Price9783030281694
Keyword(s)1. Big data 2. BIG DATA ANALYTICS 3. COMPLEX SYSTEMS 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Sociophysics 9. SYSTEM THEORY
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09186     On Shelf    

26.     
No image available
TitleDynamics On and Of Complex Networks III : Machine Learning and Statistical Physics Approaches
Author(s)Ghanbarnejad, Fakhteh;Saha Roy, Rishiraj;Karimi, Fariba;Delvenne, Jean-Charles;Mitra, Bivas
PublicationCham, Springer International Publishing, 2019.
DescriptionX, 244 p. 76 illus., 68 illus. in color : online resource
Abstract NoteThis book bridges the gap between advances in the communities of computer science and physics--namely machine learning and statistical physics. It contains diverse but relevant topics in statistical physics, complex systems, network theory, and machine learning. Examples of such topics are: predicting missing links, higher-order generative modeling of networks, inferring network structure by tracking the evolution and dynamics of digital traces, recommender systems, and diffusion processes. The book contains extended versions of high-quality submissions received at the workshop, Dynamics On and Of Complex Networks (doocn.org), together with new invited contributions. The chapters will benefit a diverse community of researchers. The book is suitable for graduate students, postdoctoral researchers and professors of various disciplines including sociology, physics, mathematics, and computer science
ISBN,Price9783030146832
Keyword(s)1. COMPLEX SYSTEMS 2. COMPLEXITY 3. COMPUTATIONAL COMPLEXITY 4. Computational Social Sciences 5. Data-driven Science, Modeling and Theory Building 6. EBOOK 7. EBOOK - SPRINGER 8. ECONOPHYSICS 9. Social sciences???Computer programs 10. Social sciences???Data processing 11. Sociophysics 12. SYSTEM THEORY
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09167     On Shelf    

27.     
No image available
TitleEmergence of Communication in Socio-Biological Networks
Author(s)Berea, Anamaria
PublicationCham, Springer International Publishing, 2018.
DescriptionVIII, 88 p : online resource
Abstract NoteThis book integrates current advances in biology, economics of information and linguistics research through applications using agent-based modeling and social network analysis to develop scenarios of communication and language emergence in the social aspects of biological communications.??The book presents a model of communication emergence that can be applied both to human and non-human living organism networks. The model is based on economic concepts and individual behavior fundamental for the study of trust and reputation networks in social science, particularly in economics; it is also based on the theory of the emergence of norms and historical path dependence that has been influential in institutional economics. Also included are mathematical models and code for agent-based models to explore various scenarios of language evolution, as well as a computer application that explores language and communication in biological versus social organisms, and the emergence of various meanings and grammars in human networks. Emergence of Communication in Socio-Biological Networks??offers both a completely novel approach to communication emergence and language evolution and provides a path for the reader to explore various scenarios of language and communication that are not constrained to the human networks alone. By illustrating how computational social science and the complex systems approach can incorporate multiple disciplines and offer an integrated theory-model approach to the evolution of language, the book will be of interest to researchers working with computational linguistics, mathematical linguistics, and complex systems
ISBN,Price9783319645650
Keyword(s)1. Biological systems 2. Computational linguistics 3. COMPUTER SIMULATION 4. Data-driven Science, Modeling and Theory Building 5. EBOOK 6. EBOOK - SPRINGER 7. ECONOPHYSICS 8. Simulation and Modeling 9. Sociophysics 10. Systems biology
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09139     On Shelf    

28.     
No image available
TitleFeature Learning and Understanding : Algorithms and Applications
Author(s)Zhao, Haitao;Lai, Zhihui;Leung, Henry;Zhang, Xianyi
PublicationCham, Springer International Publishing, 2020.
DescriptionXIV, 291 p. 126 illus., 109 illus. in color : online resource
Abstract NoteThis book covers the essential concepts and strategies within traditional and cutting-edge feature learning methods thru both theoretical analysis and case studies. Good features give good models and it is usually not classifiers but features that determine the effectiveness of a model. In this book, readers can find not only traditional feature learning methods, such as principal component analysis, linear discriminant analysis, and geometrical-structure-based methods, but also advanced feature learning methods, such as sparse learning, low-rank decomposition, tensor-based feature extraction, and deep-learning-based feature learning. Each feature learning method has its own dedicated chapter that explains how it is theoretically derived and shows how it is implemented for real-world applications. Detailed illustrated figures are included for better understanding. This book can be used by students, researchers, and engineers looking for a reference guide for popular methods of feature learning and machine intelligence
ISBN,Price9783030407940
Keyword(s)1. Computational Intelligence 2. Data-driven Science, Modeling and Theory Building 3. EBOOK 4. EBOOK - SPRINGER 5. ECONOPHYSICS 6. IMAGE PROCESSING 7. Image Processing and Computer Vision 8. MACHINE LEARNING 9. OPTICAL DATA PROCESSING 10. PATTERN RECOGNITION 11. SIGNAL PROCESSING 12. Signal, Image and Speech Processing 13. Sociophysics 14. Speech processing systems
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09105     On Shelf    

29.     
No image available
TitleMathematical Modelling of Meteoroid Streams
Author(s)Ryabova, Galina O
PublicationCham, Springer International Publishing, 2020.
DescriptionVIII, 68 p. 16 illus., 8 illus. in color : online resource
Abstract NoteModern computer power and high-precision observational data have greatly improved the reliability of meteoroid stream models. At present, scientific research calls for two kinds of models: precise ones for individual streams, and statistically averaged ones for Solar System dust distribution models. Thus, there is a wide field of study open to stream modellers. This brief describes step-by-step computer simulations of meteoroid stream formation and evolution. Detailed derivations of relevant formulae are given, along with plenty of helpful, digestible figures explaining the subtleties of the method. Each theoretical section ends with examples aimed to help readers practice and master the material. Most of the examples are based on the Geminid meteoroid stream model, which has been developed by the author in the last 30 years. The book is intended for researchers interested in meteor astronomy and mathematical modelling, and it is also accessible to physics and astrophysics students
ISBN,Price9783030515102
Keyword(s)1. ASTROPHYSICS 2. Astrophysics and Astroparticles 3. Data-driven Science, Modeling and Theory Building 4. EBOOK 5. EBOOK - SPRINGER 6. ECONOPHYSICS 7. MATHEMATICAL PHYSICS 8. Sociophysics 9. THEORETICAL ASTROPHYSICS
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I09014     On Shelf    

30.    
No image available
TitleQuality Assured Measurement : Unification across Social and Physical Sciences
Author(s)Pendrill, Leslie
PublicationCham, Springer International Publishing, 2019.
DescriptionXIII, 241 p. 98 illus., 46 illus. in color : online resource
Abstract NoteThis book presents a general and comprehensive framework for the assurance of quality in measurements. Written by a foremost expert in the field, the text reflects an on-going international effort to extend traditional quality assured measurement, rooted in fundamental physics and the SI, to include non-physical areas such as person-centred care and the social sciences more generally. Chapter by chapter, the book follows the measurement quality assurance loop, based on Deming???s work. The author enhances this quality assurance cycle with insights from recent research, including work on the politics and philosophy of metrology, the new SI, quantitative and qualitative scales and entropy, decision risks and uncertainty when addressing human challenges, Man as a Measurement Instrument, and Psychometry and Person-centred care. Quality Assured Measurement: Unification across Social and Physical Sciences provides students and researchers in physics, chemistry, engineering, medicine and the social sciences with practical guidance on designing, implementing and applying a quality-assured measurement while engaging readers in the most novel and expansive areas of contemporary measurement research.
ISBN,Price9783030286958
Keyword(s)1. Data-driven Science, Modeling and Theory Building 2. EBOOK 3. EBOOK - SPRINGER 4. ECONOPHYSICS 5. Industrial safety 6. Measurement Science and Instrumentation 7. Measurement?????? 8. PHYSICAL MEASUREMENTS 9. PSYCHOMETRICS 10. QUALITY CONTROL 11. Quality Control, Reliability, Safety and Risk 12. RELIABILITY 13. RESEARCH METHODOLOGY 14. Sociology???Research 15. Sociophysics
Item TypeeBook
Multi-Media Links
Please Click here for eBook
Circulation Data
Accession#  Call#StatusIssued ToReturn Due On Physical Location
I08785     On Shelf    

(page:3 / 6) [#59] First Page   Previous Page   Next Page   Last Page